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Top Ways AI is Revolutionizing The Fitness Sector AI is contributing to the fitness sector by providing its smart assistants. Let us check out the different types of ways through which AI is affecting the fitness sector. It is commonly known that sports activities and regular exercises are the keys to preserving people’s physical and mental health. AI, health, and fitness have become inextricably linked. As AI companies claim, artificial intelligence makes everything better. When it comes to fitness, it can empower the app, significantly improving engagement which potentially brings sustainable revenue. The apps with AI features can provide users with some specific benefits. For example, it can save money for a fitness buff because an AI fitness trainer is cheaper than a personal trainer while joining a gym can be costly or difficult to fit into our busy lives. Moreover, an AI-driven fitness app can make a workout more engaging and fun. Smarter Wearables Equipment and Other Exercise
Source Wearable technology can be defined as items (often with electronic capabilities) worn with acceptable function and aesthetic properties, consisting of a simple interface to perform set tasks to satisfy the needs of a specific group. The main purpose identified for wearable devices was sensing, thus the focus was sensing devices (accessory and textile-based). The review has four sections: i) Wearable technology components ii) Timeline of developments iii) Applications of use iv) Projections for use in clothing and textiles Wearable Technology Components Several elements are required for wearable technologies. Sensors, actuators, and controllers (often microcontrollers), a power source, and software (data acquisition, use, transfer, storage) are considered the main components. Sensing applications appear to dominate the sector. Sensors for biological (e.g. skin temperature, heart rate, respiration rate, activity, posture) and/or environmental (e.g. temperature, relative humidity, presence of defined substances) applications are used in textiles to provide information to the wearer about their physiological state or surroundings, and also to interested parties. For example, carbon electrodes have been successfully integrated into a fabric (70% polyester/30% cotton) which can detect environmental variables (salinity, oxygen levels, moisture content, contaminants) Case Studies To know more about how artificial intelligence is revolutionizing the fitness sector, have a look over these case studies: 1. Zenia Zenia is an AI-based personal yoga assistant that analyzes the body movements, monitors progress, and provides real-time feedback on its users’ asana performance. By
using the front camera of its user’s device, it analyzes the body posture and tells corrections through voice commands. Like Zenia, there are many other fitness apps that offer an AI fitness coach to aid people to maintain their fitness. 2. Kaiahealth Kaia Health, the market leader in digital therapeutics, uses AI to monitor and analyze human movement to provide real-time instructions as well as feedback. All you need to do is to install this app and start exercising. It uses your phone’s front camera to analyze the posture of an exercise and then provide feedback. Applications of AI in Fitness The sports, fitness, and well-being sectors can be enhanced by monitoring the physiological conditions of wearers. Optimizing behavior during training and competition is desirable for athletes to achieve high performance. Providing information in real-time for athletes and trainers to observe and make adjustments during training and competition is desirable. Devices include wristbands, armbands, and incorporation in sports clothing. Wrist-worn devices seem most common. The accuracy, precision, and health benefits of wrist activity trackers have been investigated. Wrist-worn devices. Armbands for monitoring physiological parameters in sports, fitness, and well-being have been developed. The SenseWear Pro ArmbandTM was designed to estimate the energy expenditure of the wearer during exercise. Textile-based products with sensing capabilities are available for sports, fitness, and well-being. StretchsenseTM (New Zealand) and Danfoss Polypower (Denmark) have produced stretch sensors to monitor muscle activity and volume changes which can be integrated into apparel items. 1. AI diet planning mobile applications
Currently, together with an increasing number of people with serious chronic diseases, auto immunological diseases, food allergies, and other civilization diseases, there is a growing group of people who take care of their health in order to improve longevity and quality of life. Benefits of AI diet planning applications: Apart from physical activity and sports, a healthy and balanced diet is of significant importance in the achievement of their goal. The Android system provides the opportunity to program applications that can be used on the devices of different manufacturers and at a wide price range, which makes it possible to reach a significant group of customers. The additional objective of the application for a dynamic generation of nutrition plans is to increase the self-awareness of the user and to support him/her in the efforts to have a balanced diet. The strength of the software is that it generates nutrition plans in a dynamic way, which means that they are developed on the basis of data that is continually collected, up-dated, and concerns the needs of a particular organism. 2. Intelligence footwear powered by artificial intelligence No doubt that AI has ruled almost every industrial niche with its alluring capabilities. Whether it is retail or logistics or healthcare; nowadays, every field is exploiting AI for numerous benefits. Nike has launched a digital shoe measurement tool that incorporates computer vision, machine learning, data science, recommendation algorithm of AI. Through Nike Fit, the US sportswear leader can recommend the perfect fit for each style of shoe. By using a
smartphone foot-morphology for both feet in a few seconds. camera, it scans the feet and collects 13 data-points mapping 3. AI assistants for exercise and health Physical exercises are considered an important factor that contributes to physical health. An accelerometer sensor is a device that captures vibrations and orientation of systems that move or rotate. The accelerometer sensor has been used to study activity recognition and physical exercise tracking such as aerobic exercises. Smartspot is a system that makes use of a Kinect sensor to track weight training exercise by counting the repetitions and sets for an exercise. The user is free to perform any weight training exercise and the system identifies the exercise that is being performed by the user. However, the system does not monitor for the correct techniques for exercise. The system can be improved by adding the monitoring feature with real-time feedback provided to the user. Fitlinxx is a touch screen system that is to be mounted on weight training machines and is a gym. Prior to performing any exercise, the user has to log into the system. The system then counts the repetitions the user performs. However, each and every machine needs to be equipped with this device to track machine exercises. Hence the system is expensive since the machines need to be equipped with the device in order to track the exercises. Final words This is how you can see how AI is revolutionizing the fitness sector by playing its role in multiple ways. So it could be said that like other fields, AI is contributing to the fitness sector too by providing its smart assistants. So, if you are also charmed by the charm of AI-powered smart assistants then do hire AI developers who can build your amazing AI-powered app with ultimate features. Good luck!